Juan, Da-Cheng

16 publications

ICLR 2025 Sufficient Context: A New Lens on Retrieval Augmented Generation Systems Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian

NeurIPS 2024 SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen

NeurIPSW 2023 Probing the Equivariance of Image Embeddings Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins

CVPR 2021 Adversarial Robustness Across Representation Spaces Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan

ICLR 2021 HyperGrid Transformers: Towards a Single Model for Multiple Tasks Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan

ICML 2021 OmniNet: Omnidirectional Representations from Transformers Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Gupta, Philip M Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler

ICML 2021 Synthesizer: Rethinking Self-Attention for Transformer Models Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng

AAAI 2020 InstaNAS: Instance-Aware Neural Architecture Search An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun

NeurIPS 2020 Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

ECCVW 2020 Remix: Rebalanced Mixup Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

ICML 2020 Sparse Sinkhorn Attention Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan

ICLR 2019 Complement Objective Training Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

ECCV 2018 DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

ECCV 2018 Escaping from Collapsing Modes in a Constrained Space Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

ECML-PKDD 2017 DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang

ACML 2017 NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu